WHY:There is a growing gap
between the rapidly expandingfield of data visualization and sports statistics trackingat the non-professional level.
WHAT:I seek to bridge this
gap by creating an ecosystem ofeasy to use, cloud-based tools for real-time mobilestatistics collection and visualization.
PURPOSE:1) to facilitate and encourage
the collection of data2) to enable deeper comprehension of the datathrough visual exploration3) to enhance traditional game statistics by taggingeach piece of data with the location and time at whichit was recorded.
SO WHAT?This will allow for
both immediate data analysis andthe preservation of spatiotemporal relationshipsbetween events—without the steep learning curve orprohibitive costs of professional-grade tools.
HOW & WHY:Through a case
study focused on several youthlacrosse teams in New York and the Bay Area,my project will demonstrate how the thoughtfulreconfiguration of existing technologies can empowera wider sports community by helping them transformdata into knowledge.
RESEARCHVISION AND COGNITION “Cognitive Models
“Picturing the of the Influence of Concepts: An Color Scale on Data Interactive Teaching Visualization Tasks” Strategy” — Human Factors — Thinking Classroom “The Influence of Information Presentation Formats on Complex Task Decision-Making Performance” — International Journal of Human-Computer Studies “The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations” — Human-Computer Interaction Laboratory and Institute for Systems Research, University of Maryland
GROUPED IN COLUMNS BUT NO
HIERARCHY TO HELP LOCATE THE RIGHT STATcurrent data tracking is either WAY too simple... ...or incredibly cramped and complicated.
when someone scores, youneed to
find their name, findthe goals column, tick off agoal, note the time on the gameclock, write down the time, thenrecord the goal AGAIN down atthe bottom....UGH. space to hand-write in 25 players—most teams only have between 16- 20 players on the roster (wasted space!)
all stats will be tied
FIRST HALF SIMPLIFIED TO DRAG
& DROP INTERFACE USING ICONS FOR IMMEDIATE VISUAL RECOGNITION COMPLETED PASS FORCED TURNOVER MISSED GOAL GROUND BALL FOUL MISSED PASS INTERCEPTION GOALIE SAVE ASSISTED GOAL DRAW CONTROL OUT OF BOUNDS PASSES DEFENSE SHOT ATTEMPTS POSSESSION CALLSICONS GROUPED INTO UMBRELLA GROUPSTO SIMPLIFY VISUAL LANGUAGE/AVOIDINFORMATION OVERLOAD
INCREDIBLY CONFUSING!VISUALLY THERE IS NO
DIFFERENTIATION BETWEEN DIFFERENT STATISTICSINTENSE COLOR ON BAR CHARTS MAKES THEM APPEAR MOST IMPORTANT(WHEREASE THE FIELD AND CLOCK HAVE MOST IMPORTANCE) CLEVELAND’S TASK MODEL #FAIL
INCREDIBLY CONFUSING! VISUALLY THERE IS
NO DIFFERENTIATION BETWEEN DIFFERENT STATISTICS INTENSE COLOR ON BAR CHARTS MAKES THEM APPEAR MOST IMPORTANT (WHEREASE THE FIELD AND CLOCK HAVE MOST IMPORTANCE) BREAKING VISUAL LANGUAGE OF BARCHARTS WITH LINE CHART—NEED TO BE CONSISTENT TO TRAIN THE VIEWER CLEVELAND’S TASK MODEL UTTERLY UN-SCANNABLE #FAIL
THE NEWVISUALIZATION FIELD GIVEN THEDASHBOARD
SIZE AND SPACE IT DESERVES FOR A LOCATION-INCLUSIVE VISUALIZATION INTERFACE LESS SPACE DEDICATED TO BAR CHARTS BUT WITH ADDED VISUAL AIDS (ICONS) LESS SPACE USED BUT CLEARER DUE TO CONSISTER BAR CHART LANGUAGE